基于云服务的智慧水产养殖平台的研究与实现

发布时间：2018-04-16 15:18

本文选题：云服务 + 水产养殖　；参考：《青岛科技大学》2017年硕士论文

【摘要】：为解决渔业信息化低、信息独立、资源利用率低、渔业技术推广困难等问题,本文将云服务模式应用到智慧水产养殖平台的建设中。平台将进行渔业数据梳理、整合,并通过网络向用户提供在线软件服务。用户通过购买平台的相关服务,就可以满足自己的需求。该方式将会极大的降低用户的成本,提高资源利用率。本文对水产养殖云服务平台的架构进行了研究,提出了基于云服务水产养殖平台的四层设计架构,包括基础设施服务层、平台服务层、软件服务层和客户端服务层;对水产养殖的水质监控与分析评价体系和知识库体系进行了研究设计;对平台的Restful的web服务技术、Jsoup网页解析技术、自定义word导出技术等关键技术进行了研究并给出了解决策略;建立了适合水产养殖的水质标准,并对水质评价方法进行了验证;阐述了平台部署的方法及其关键步骤;介绍了平台主要模块的详细设计及其实现效果。本文的创新之处在于提出适合水产养殖云平台建设的四层体系架构;使用Jsoup技术进行网络资源整合;利用Aspose技术导出自定义word文档;首次将国家海洋局在陆源入海排污口及其邻近海域环境质量监测中使用的部分评价方法应用到养殖水质评价中;平台与政府联合,打造政企一体的云服务模式。本文采用优秀的软件开发技术,深度挖掘水产养殖用户的需求,打造具有基础信息服务、养殖水质监测与分析评价、智慧诊断等功能的智慧水产养殖云服务平台。截至到目前,智慧水产养殖云服务平台已经接入山东沿海近20个海洋牧场养殖区和威海某海参养殖基地。平台经过测试,可以满足用户的实际需要,具有推广意义。
[Abstract]:In order to solve the problems of low informatization, independence of information, low utilization of resources and difficulties in the promotion of fishery technology, this paper applies the cloud service model to the construction of intelligent aquiculture platform.The platform will comb and integrate fishery data and provide online software services to users through the network.Users can meet their needs by buying related services of the platform.This way will greatly reduce the cost of users and improve the utilization of resources.In this paper, the architecture of cloud service platform for aquaculture is studied, and a four-layer design framework based on cloud service platform is proposed, including infrastructure service layer, platform service layer, software service layer and client service layer.The water quality monitoring, analysis and evaluation system and knowledge base system of aquaculture were studied and designed, and the key technologies such as web service technology of Restful platform, web soup web page parsing technology, self-defined word export technology, and so on, were studied, and the solving strategies were given.The water quality standard suitable for aquaculture was established, and the water quality evaluation method was verified; the method and key steps of platform deployment were expounded; and the detailed design and implementation effect of the main modules of the platform were introduced.The innovation of this paper is to put forward a four-layer architecture suitable for the construction of aquiculture cloud platform, to integrate network resources with Jsoup technology, to export custom word documents by using Aspose technology;For the first time, some evaluation methods used by the State Oceanic Administration in monitoring the environmental quality of land-based sewers and adjacent sea areas are applied to the assessment of aquiculture water quality; the platform and the government combine to create a cloud service model integrating government and enterprise.In this paper, excellent software development technology is used to dig the needs of aquaculture users in depth, and a cloud service platform with basic information service, water quality monitoring and evaluation, intelligent diagnosis and so on is built.Up to now, the cloud service platform of intelligent aquaculture has been connected to nearly 20 marine pastures along the coast of Shandong Province and a breeding base of sea cucumbers in Weihai.After testing, the platform can meet the actual needs of users.
【学位授予单位】：青岛科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52;TP393.09

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